In Splus the randomForest package version is 4.5-18; in R randomForest version is 4.6-2. I'm using R version 2.13.1.
After restore the randomForest object into R using data.restore(), below are str(cost.rf) outputs, List of 17 $ call : language randomForest(x = train.roughfix[stop("Argument '' is missing"), -1L], y = train.roughfix[stop("Argument '' is missing"), ... $ type : chr "regression" $ predicted : atomic [1:51368] 23921 8884 2799 4432 7201 ... ..- attr(*, ".Names")= chr [1:51368] "1" "2" "3" "4" ... $ mse : num [1:500] 1.65e+09 9.76e+08 7.70e+08 6.77e+08 6.22e+08 ... $ rsq : num [1:500] -1.952 -0.747 -0.379 -0.213 -0.114 ... $ oob.times : int [1:51368] 185 190 189 176 182 184 164 200 189 200 ... $ importance : num [1:78, 1:2] 1040619 34174 148774 48116 235056 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:78] "Age" "AntiarrhythmicsC" "AntiarrhythmicsDays" "AntiarrhythmicsIIIC" ... .. ..$ : chr [1:2] "%IncMSE" "IncNodePurity" $ importanceSD : atomic [1:78] 308517 9618 43424 11313 101015 ... ..- attr(*, ".Names")= chr [1:78] "Age" "AntiarrhythmicsC" "AntiarrhythmicsDays" "AntiarrhythmicsIIIC" ... $ localImportance: num [1:78, 1:51368] 0 0 0 0 0 0 0 0 0 0 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:78] "Age" "AntiarrhythmicsC" "AntiarrhythmicsDays" "AntiarrhythmicsIIIC" ... .. ..$ : chr [1:51368] "1" "2" "3" "4" ... $ proximity : symbol proximity $ ntree : int 500 $ mtry : num 6 $ forest : atomic [1:10] c(525, 525, 525, 525, 525, 5 structure(c(-3, -3, -3, -3, H structure(c(2, 4, 6, 8, 10, H structure(c(3, 5, 7, 9, 11, H ... ..- attr(*, ".Names")= chr [1:10] "ndbigtree" "nodestatus" "leftDaughter" "rightDaughter" ... $ coefs : symbol coefs $ y : num [1:51368] 26697 28758 611 1035 12483 ... $ test : symbol test $ inbag : symbol inbag - attr(*, "class")= chr "randomForest" I tried dump() in Splus then source() in R as well, but the source() function returns error: Error in attributes(.Data) <- c(attributes(.Data), attrib) : attributes must be named Thanks, Jimmy -----Original Message----- From: Liaw, Andy [mailto:andy_l...@merck.com] Sent: Tuesday, August 09, 2011 12:12 PM To: Zhiming Ni; r-help@r-project.org Subject: RE: convert a splus randomforest object to R You really need to follow the suggestions in the posting guide to get the best help from this list. Which versions of randomForest are you using in S-PLUS and R? Which version of R are you using? When you restore the object into R, what does str(object) say? Have you also tried dump()/source() as the R Data Import/Export manual suggests? Andy > -----Original Message----- > From: r-help-boun...@r-project.org > [mailto:r-help-boun...@r-project.org] On Behalf Of Zhiming Ni > Sent: Tuesday, August 02, 2011 8:11 PM > To: r-help@r-project.org > Subject: [R] convert a splus randomforest object to R > > Hi, > > I have a randomforest object "cost.rf" that was created in splus 8.0, > now I need to use this trained RF model in R. So in Splus, I dump the > RF file as below > > data.dump("cost.rf", file="cost.rf.txt", oldStyle=T) > > then in R, restore the dumped file, > > library(foreign) > > data.restore("cost.rf.txt") > > it works fine and able to restore the "cost.rf" object. But when I try > to pass a new data through this randomforest object using predict() > function, it gives me error message. > > in R: > > library(randomForest) > set.seed(2211) > > pred <- predict(cost.rf, InputData[ , ]) > > Error in object$forest$cutoff : $ operator is invalid for atomic > vectors > > > Looks like after restoring the dump file, the object is not compatible > in R. Have anyone successfully converted a splus randomforest object > to R? what will be the appropriate method to do this? > > Thanks in advance. > > Jimmy > > ========================================== > This communication contains information that is confidential, and > solely for the use of the intended recipient. It may contain > information that is privileged and exempt from disclosure under > applicable law. If you are not the intended recipient of this > communication, please be advised that any disclosure, copying, > distribution or use of this communication is strictly prohibited. > Please also immediately notify SCAN Health Plan at 1-800-247-5091, > x5263 and return the communication to the originating address. > Thank You. > ========================================== > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > Notice: This e-mail message, together with any attachme...{{dropped:24}} ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.